Enhanced Reality Visualization in a Surgical Environment

Enhanced reality visualization is the process of enhancing an image by adding to it information which is not present in the original image. A wide variety of information can be added to an image ranging from hidden lines or surfaces to textual or iconic data about a particular part of the image. Enhanced reality visualization is particularly well suited to neurosurgery. By rendering brain structures which are not visible, at the correct location in an image of a patient's head, the surgeon is essentially provided with X-ray vision. He can visualize the spatial relationship between brain structures before he performs a craniotomy and during the surgery he can see what's under the next layer before he cuts through. Given a video image of the patient and a three dimensional model of the patient's brain the problem enhanced reality visualization faces is to render the model from the correct viewpoint and overlay it on the original image. The relationship between the coordinate frames of the patient, the patient's internal anatomy scans and the image plane of the camera observing the patient must be established. This problem is closely related to the camera calibration problem. This report presents a new approach to finding this relationship and develops a system for performing enhanced reality visualization in a surgical environment. Immediately prior to surgery a few circular fiducials are placed near the surgical site. An initial registration of video and internal data is performed using a laser scanner. Following this, our method is fully automatic, runs in nearly real-time, is accurate to within a pixel, allows both patient and camera motion, automatically corrects for changes to the internal camera parameters (focal length, focus, aperture, etc.) and requires only a single image.

Segmentation of Brain Tissue from Magnetic Resonance Images

Segmentation of medical imagery is a challenging problem due to the complexity of the images, as well as to the absence of models of the anatomy that fully capture the possible deformations in each structure. Brain tissue is a particularly complex structure, and its segmentation is an important step for studies in temporal change detection of morphology, as well as for 3D visualization in surgical planning. In this paper, we present a method for segmentation of brain tissue from magnetic resonance images that is a combination of three existing techniques from the Computer Vision literature: EM segmentation, binary morphology, and active contour models. Each of these techniques has been customized for the problem of brain tissue segmentation in a way that the resultant method is more robust than its components. Finally, we present the results of a parallel implementation of this method on IBM's supercomputer Power Visualization System for a database of 20 brain scans each with 256x256x124 voxels and validate those against segmentations generated by neuroanatomy experts.

Compact Representations for Fast Nonrigid Registration of Medical Images

We develop efficient techniques for the non-rigid registration of medical images by using representations that adapt to the anatomy found in such images. Images of anatomical structures typically have uniform intensity interiors and smooth boundaries. We create methods to represent such regions compactly using tetrahedra. Unlike voxel-based representations, tetrahedra can accurately describe the expected smooth surfaces of medical objects. Furthermore, the interior of such objects can be represented using a small number of tetrahedra. Rather than describing a medical object using tens of thousands of voxels, our representations generally contain only a few thousand elements. Tetrahedra facilitate the creation of efficient non-rigid registration algorithms based on finite element methods (FEM). We create a fast, FEM-based method to non-rigidly register segmented anatomical structures from two subjects. Using our compact tetrahedral representations, this method generally requires less than one minute of processing time on a desktop PC. We also create a novel method for the non-rigid registration of gray scale images. To facilitate a fast method, we create a tetrahedral representation of a displacement field that automatically adapts to both the anatomy in an image and to the displacement field. The resulting algorithm has a computational cost that is dominated by the number of nodes in the mesh (about 10,000), rather than the number of voxels in an image (nearly 10,000,000). For many non-rigid registration problems, we can find a transformation from one image to another in five minutes. This speed is important as it allows use of the algorithm during surgery. We apply our algorithms to find correlations between the shape of anatomical structures and the presence of schizophrenia. We show that a study based on our representations outperforms studies based on other representations. We also use the results of our non-rigid registration algorithm as the basis of a segmentation algorithm. That algorithm also outperforms other methods in our tests, producing smoother segmentations and more accurately reproducing manual segmentations.

Es el reimplante valvular mejor que el bentall biológico modificado para tratar aneurismas de la raíz asociados a insuficiencia?

Es el reimplante valvular mejor que el Bentall Biológico Modificado para tratar aneurismas de la raíz asociados a insuficiencia? Obando CE; Gutiérrez HF; Santamaría G, Bresciani R; Camacho J; Sandoval N; Umaña J. Departamento de Cirugía Cardiovascular, Fundación Cardio Infantil, Bogotá, Colombia. Objetivo: comparar resultados funcionales, morbilidad y sobrevida a corto y mediano plazo, tras la realización de Bentall modificado con prótesis Freestyle vs reimplante valvular de Tirone David, en insuficiencia aortica secundaria a aneurisma de la raíz. Diseño: revisión de registros institucionales de 88 pacientes tratados entre enero de 2003 y agosto de 2009 con insuficiencia aortica secundaria a aneurisma de la raíz sin daño valvular, distribuidos en dos cohortes: Grupo 1 (Bentall modificado) y Grupo 2 (reimplante valvular). Se evaluaron complicaciones perioperatorias, transfusiones, estancias hospitalarias y en el seguimiento a mediano plazo insuficiencia valvular, clase funcional, función ventricular y sobrevida. Solidez de los resultados verificada mediante análisis de propensidad con balanceo de grupos. Resultados: Grupo (1) 51(57.9%) pacientes y grupo (2) 37(42.1%). Aunque el grupo 2 es mas joven, patrones similares de coomorbilidad, anatomía de la raíz, función y diámetros ventriculares hacen comparables los dos grupos. Seguimiento de 3.3 años (IQR 2.0-4.4). Mortalidad temprana 2(3.8%) vs 0 p =0.2 y tardía de 2(4.1%) vs 0 p=0.33. El análisis estratificado de covariables en bloques de distribución tampoco identifica diferencias en mortalidad. El análisis de sobrevida de mortalidad y sobrevida libre de eventos identifica desenlaces similares entre los grupos (Log-Rank chi2=0.9, p=0.3); incluyendo Insuficiencia aortica = II temprana (3.8% vs 0, p=0.2) y tardía (3.8%vs 0, p=0.1), transfusiones perioperatorias, reintervenciones por sangrado (2.3% vs 3.4%, p=0.4), arritmias (25.5% vs 13.5%, p=0.2) y disfunción neurológica (5.7% vs 2.9%, p=0.9). Finalmente la hospitalización total (6.5 {1-35} vs 4{3-16} p=0.001) y estancia en Cuidado intensivo (2.5 {1-21} vs 1{1-16} p=0.001) es superior en el grupo1. Conclusiones: el tratamiento de los aneurismas de la raíz aortica asociados a insuficiencia valvular sin daño estructural, mediante reimplante valvular o Bentall biológico modificado ofrece resultados similares a corto y mediano plazo. La preservación valvular se asocia a estancias mas cortas, pero no hay diferencia en complicaciones postoperatorias, estatus funcional, insuficiencia valvular, función ventricular, mortalidad y sobrevida libre de eventos adversos.

Colour image of the thorax and abdomen

This is an image taken from Anatomy tv, an interactive resource for teaching and learning in anatomy and physiology which the University Library subscribes to. This image may not be changed, but you may take a copy and present it with other materials and resources you are using so long as they are password protected for access by members of the University only. "All products and all images within the products are protected by copyright. The products and images can only be used for private educational purposes, unless a specific license is purchased for any other usage. For any commercial usage of the images, please contact Primal Pictures Limited. The products allow members of the University of Southampton to ‘copy and paste’ all of the text as well as the images in the 3D-model window and all of the slides. These can then be pasted into nearly any other word-processing or graphics program, including Powerpoint. These resources can be made available to members of the University of Southampton via a password-protected service. This again is designed solely as a service for private educational uses. Like any publisher, Primal Pictures protects itself against copyright infringement. Please do contact Debra Morris in the University Library before using these resources to ensure that conditions are respected. ©Primal Pictures Limited 2007

Human heart

A colour image of the human heart. This is an image taken from Anatomy tv, an interactive resource for teaching and learning in anatomy and physiology which the University Library subscribes to. This image may not be changed, but you may take a copy and present it with other materials and resources you are using so long as they are password protected for access by members of the University only. All products and all images within the products are protected by copyright. The products and images can only be used for private educational purposes, unless a specific license is purchased for any other usage. For any commercial usage of the images, please contact Primal Pictures Limited. The products allow members of the University of Southampton to ‘copy and paste’ all of the text as well as the images in the 3D-model window and all of the slides. These can then be pasted into nearly any other word-processing or graphics program, including Powerpoint. These resources can be made available to members of the University of Southampton via a password-protected service. This again is designed solely as a service for private educational uses. Like any publisher, Primal Pictures protects itself against copyright infringement. Please do contact Debra Morris in the University Library before using these resources to ensure that conditions are respected. ©Primal Pictures Limited 2007

Sensibilidad y especificidad del ecocardiograma transtorácico para el diagnóstico de enfermedad coronaria

Introducción: La enfermedad coronaria es la principal causa de muerte en Colombia y el mundo en personas mayores de 45 años (1, 2). Con la variación en los perfiles epidemiológicos se espera que aumente su prevalencia y costo, disminuyendo la mortalidad. En el estudio diagnóstico de enfermedad coronaria, se realizan múltiples pruebas paraclínicas, dentro de estas, el ecocardiograma es muy utilizado y sus recomendaciones de uso se basan en estudios de hace más de 10 años (3). Metodología: Se realizó un estudio de prueba diagnóstica para determinar las características operativas del ecocardiograma transtorácico para el diagnóstico de enfermedad coronaria frente al cateterismo cardiaco en pacientes con dolor torácico. Resultados: Se analizaron 290 pacientes con una edad promedio de 67 años y 68% hombres; el 74.1% tenía hipertensión arterial y el 24.5% de diabetes mellitus. En el 61% de los pacientes se evidenció enfermedad coronaria por angiografía. La sensibilidad del ecocardiograma transtorácico para enfermedad coronaria fue del 70%, especificidad del 55%, valor predictivo negativo del 54% y valor predictivo positivo del 71%; con una efectividad del 65% y una capacidad predictora del 60.6% (p=0.02). Discusión: La anatomía coronaria fue similar a la descrita previamente, siendo las lesiones multivaso presente en un 41% y la lesión de un vaso fue del 22% (4, 5). Teniendo en cuenta la sensibilidad del 70% y especificidad del 55%, la facilidad de acceso, características no invasivas y el bajo costo; nos permiten recomendar utilizarlo como guía diagnóstica en el contexto del dolor torácico en el servicio de urgencias.

System Design: Using UML Use Cases

In this lecture we cover how UML Use Cases can be used for requirements capture. We look at the anatomy of a Use Case Description, and the way in which use cases can be brought together in a use case diagram. We also look at the way that use cases can be derived from problems using noun verb analysis.

Evaluación a largo plazo en mujeres tratadas con laser para depilación facial en uniláser medica

El vello facial no deseado es un problema común en las mujeres, los tratamientos láser han mostrado efectividad para su manejo. Objetivo: Evaluar los resultados de la depilación láser en cara de las pacientes tratadas a largo plazo (20 sesiones o más ) luego de un seguimiento de 6 meses durante los años 1997 y 2012. Metodología: 55 mujeres que con tipo de piel II a V recibieron 20 o más sesiones de láser con seguimiento mayor a 6 meses posterior al la última sesión. Resultados: la edad promedio fue (32 ± 9,3 años), el 18,2 % presentaban SOP o Hiperandrogenismo el número de sesiones en cara fue de (30,84 ± 12,132), un promedio de disparos de (6,330 ± 7,804), los Kilojulios acumulados tuvieron un promedio de (126,5 ± 161,4) la fluencia promedio fue (18,5 ± 3,2 Julios/cm2), el láser de Alexandrita fue utilizado en el 98% de las pacientes. Se encontró cambios significativos entre el conteo inicial y el final de vello facial (484,9 ± 568.9 (med=300) vs. 103,33± 138,63 (med=60), p<0.001, Test de Wilcoxon). El 32.7% mostraron reducción > 90% (5,5% reducción del 100%). Conclusión : El tratamiento con de depilación con láser mostro una reducción significativa del vello facial, en mujeres mayores de 14 años con un tratamiento a largo plazo (20 sesiones o más), con una tasa de reducción mayor del 90% en 32.7% de las pacientes y un promedio de reducción del grupo de 79,36 ±15,51 %, similar a lo reportado en los diferentes estudios (77%).